Spektron Systems has actively engaged in developing synthesis and test plans on five representative molecules representing designs for an antipsychotic medication. Primarily for the purposes of estimating testing costs at a detailed level, our approach is to select key in vitro and in vivo/behavioral tests that we can or have modeled already in silico. These …
Spektron System has submitted a Small Business Innovation Research Phase I grant proposal to the NSF for innovations in Computational Biology and Bioinformatics.
This page contains a summary and description of Q-MAP™ modeling results against the twelve Tox21 data challenge endpoints. It also compares results from competitors (to the extent they are known). All results here have been compiled against the predefined set of test molecules that were used in the Tox21 data challenge. The Tox21 data challenge is the most commonly referenced modeling challenge in predictive toxicology. As such, achieving a good performance against the Tox21 test set is a powerful statement about our platform’s predictive modeling skills.
Our initial test results suggest that the platform will produce leads to pre-clinical testing and clinical trials that have a strong success profile. Another way to look at it is that our race car has the power, the handling, and the drive to cross under the checkered flag.